Business Process Automation Developer

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Overview

LABUR is partnering with a client to bring on an AI Developer focused on building automation solutions for asset management workflow improvements. This role converts business problems into scalable AI-enabled and rule-based solutions that reduce manual effort and save time for business teams. The ideal person brings strong software engineering fundamentals, hands-on AI and machine learning experience, and experience building automations for key business processes.

Responsibilities

• Build AI-enabled automation for reconciliation and middle office workflows, including cash, position, and transaction data reconciliation
• Develop exception classification, anomaly detection, break prioritization, and root-cause analysis capabilities
• Design and implement classification, summarization, semantic search, and decision-support features using AI and machine learning
• Partner with business, operations, product, technology, risk, and vendor teams to deliver production-ready, supportable solutions
• Create technical designs, data mappings, workflow diagrams, and runbooks

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Finance, Accounting, or equivalent experience
• Several years of software engineering, AI development, data engineering, or automation engineering experience
• Strong programming skills in Python, Java, JavaScript/TypeScript, or similar languages with solid SQL and data transformation capabilities
• Experience with Google Cloud Platform services including Cloud Storage, Cloud Run, Google Cloud Storage, Cloud Dataflow, Cloud Composer/DAGs, and Secret Manager.
• Experience with Vertex AI Search, Gemini LLMs, Gemini Enterprise Agent Platform, Gemini Flash 3.5, and Gemini Flash-Lite models.
• Experience with APIs, microservices, integrations, cloud platforms, CI/CD, testing, monitoring, and production support
• Experience in asset management preferred
• Understanding of responsible AI principles including privacy, explainability, oversight, auditability, and operational risk controls
• Preferred: Experience with reconciliation platforms and experience modernizing manual processes through workflow automation, STP, or AI-assisted review

Compensation

$70-$75/hr - Dependent on fit and experience